Brief a consultant in plain language and get back real work — usually within the hour. Every engagement ends in the finished thing:
An analyst-grade market report, a costed implementation plan, a vendor evaluation scorecard, a branded 16:9 deck, or a merged pull request.
Counsileum is an on-demand AI consultancy: a standing bench of nine specialist consultants that each return a finished deliverable — a research report, a costed plan, a vendor scorecard, a deck, or a pull request — usually within the hour. You brief one consultant in plain language, answer a short intake interview, and dispatch.
Brief the one you need. Each works like a colleague you handed a scope to — not a chatbot you have to supervise.
Deep market research, Gartner-grade.
Designs the page, in real HTML.
Positions it, drafts the posts.
Pressure-tests the idea, names it.
Turns a brief into branded slides.
Scopes the project end to end.
Costs the work, model by model.
Ships code and opens the pull request.
Teaches your coding agent any stack.
Four moves, and only two of them are yours.
Pick a consultant from the bench and describe what you need in a couple of sentences.
The consultant asks a handful of sharp intake questions — one at a time — then plays the scope back to you.
Approve, and it works autonomously in its own workspace. Close the tab; nothing depends on your browser.
The deliverable links land in your email. Reply in the portal with feedback and get a revised version.
Every engagement opens with a short interview — one question at a time, the ones a good consultant asks before quoting. When the scope is clear it plays the brief back for you to approve.
Work comes back as the finished thing — a designed report you can send to a board, a deck you can present, a pull request you can merge. Read it in the app, or open the emailed link on your phone.
Structured, sourced, board-ready — web and PDF.
Real code on a branch in your own repo.
Scoped work, priced by the cheapest capable model.
On-brand 16:9 slides from a one-line brief.
Weighted to your criteria, sourced cell by cell.
A consulting firm is the right call for long, ambiguous, politically sensitive programmes. It is the wrong call when you need one specific question answered by Thursday — scoped, costed and delivered without a statement of work.
| Traditional consultancy | Counsileum | |
|---|---|---|
| What you buy | A statement of work, scoped and staffed | One engagement, one deliverable, on demand |
| Turnaround | Two to eight weeks after the SOW is signed | Minutes to an hour for most reports and plans |
| How specific it gets | Fully bespoke | Fully bespoke — your market, your constraints, your repo |
| Output | A deck and a findings document | A report, a deck, a costed plan, or a merged pull request |
| Revisions | Change request, usually billable | Reply with feedback; a new version is produced |
| Best for | Long, ambiguous, politically sensitive programmes | Decisions you need to make now, with the work shown |
We do direct consulting for one client at a time — and we tell you which of our findings are sourced and which are inference.
A published grid ranks vendors for a buyer who isn't you. It can't know your budget, your stack, your data-residency rules, or the two vendors you ruled out in week one. So we build the scorecard around the decision you're actually making.
| Criterion | Weight | Vendor A | Vendor B | Vendor C |
|---|---|---|---|---|
| Data residency (EU) | 25% | 5 | 4 | 5 |
| Cost at 40k events/sec | 20% | 3 | 5 | 2 |
| SSO + SCIM | 15% | 5 | 5 | 3 |
| Migration effort | 20% | 2 | 4 | 4 |
| Support SLA | 20% | 4 | 3 | 5 |
| Weighted total | 100% | 3.80 | 4.15 | 3.90 |
Scores 1–5 against your criteria. Vendor B wins on your weights — not on ours.
Every engagement is scoped in the intake interview before anything runs, so you always know what you are getting back.
You have one question and a deadline. Brief one consultant, get one artifact.
A team that keeps needing research, plans and decks — without keeping analysts on payroll.
A build that needs scoping, costing, and then actually writing — handed between three consultants.
The hard part of an AI project is never the model — and what is hard can only be learned from inside the customer's workflow.
Vendor evaluationThree grids, three different questions. What each one actually measures, and which to cite in which argument.
ResearchThe nine-part structure every credible market report shares, and the sourcing discipline that makes it defensible.
Market sizingTop-down versus bottom-up sizing, why the two must reconcile, and how to show your arithmetic.
ProcurementWeighted criteria, anchored scales, and the failure modes that turn a scorecard into a rubber stamp.
Yes — it's one of the most common engagements. A published grid ranks vendors for a generic buyer, so it can't account for your budget, your stack, your data-residency rules, or the vendors you've already ruled out. We build the scorecard around your criteria and your weights, score only the vendors on your shortlist, and show the arithmetic. Every cell carries its source, and anything we can't verify is marked rather than guessed. The evaluation is yours alone. One honest caveat: if what you need is an independent third party to cite in a board paper, buy the syndicated report — a custom scorecard is for making the decision, not for transferring the risk of it.
Most research reports, plans, scorecards and decks come back within minutes to an hour of dispatch. Engineering work that ends in a pull request depends on the size of the change. The intake interview gives you an estimate before anything runs, and you can close the tab once you have dispatched; nothing depends on your browser staying open.
A finished artifact, not a chat transcript. Depending on the
consultant: a designed research report as both web page and PDF, a
16:9 presentation deck, a costed implementation plan, a scoping
document, a self-contained HTML design, a context.md file
for your coding agent, or a pull request on a branch in your own GitHub
repository. Links are emailed to you and stay live.
Yes. Reply in the portal with feedback and the same consultant revises the same deliverable with the full context of the engagement still loaded. Each revision is kept as a new version, and the previous ones stay reachable — so you can compare, or roll back to what you had.
Research deliverables separate what is sourced from what is inferred. Figures carry their provenance, and modelled numbers are shown with the arithmetic that produced them rather than presented as findings. Where a market has no reliable public data, the report says so instead of filling the gap. You should still review a report before you act on it — the same way you would review work from a junior analyst.
Only the repositories you nominate, using a GitHub token you supply and can revoke at any time. Work happens on a dedicated branch, never on your default branch, and arrives as a pull request for your team to review and merge. Nothing is pushed to production and nothing is merged on your behalf.
Deliverables, not chat transcripts. Every engagement ends with something you can ship, send, or merge. Tell us what you need — we'll come back with a proposal and next steps.